Identification of mRNA Prognostic Markers for TGCT by Integration of Co-Expression and CeRNA Network

Green tea polyphenols alleviate di (2-ethylhexyl) phthalate-induced testicular injury in mice via lncRNA-miRNA-mRNA axis†

Di(2-ethylhexyl) phthalate (DEHP) is a commonly used plasticizer known for its toxic effects on the male reproductive system. Green tea polyphenols (GTPs), recognized for their antioxidant and anti-inflammatory properties, have demonstrated protective effects on various organs, but the mechanisms by which GTPs mitigate DEHP-induced testicular damage remain unclear. Healthy male C57BL/6J mice were divided into five groups: control, DEHP, DEHP + GTP treatment, GTP, and oil groups. Testicular histopathological changes were assessed using hematoxylin-eosin (H&E), periodic acid-Schiff (PAS), and Masson staining. Ultrastructural alterations were examined through transmission electron microscopy. High-throughput sequencing was performed to analyze the expression of mRNA, miRNA, and lncRNA and construct an lncRNA-miRNA-mRNA regulatory network for identifying key regulatory axes. Mice in the DEHP group exhibited significant testicular damage, including reduced sperm count, mitochondrial deformation, and endoplasmic reticulum dilation. GTP treatment notably improved testicular structural integrity, restored sperm count, and alleviated mitochondrial and endoplasmic reticulum damage. Additionally, DEHP significantly increased activated CD8+ T cells, which were reduced with GTP treatment. High-throughput sequencing revealed that GTP treatment exerted protective effects through the regulation of six key lncRNA-miRNA-mRNA axes. GTPs significantly protect against DEHP-induced testicular damage, and the lncRNA-miRNA-mRNA regulatory axes play a potential role in this process.

Higher expression of SALL4-A isoform is correlated with worse outcomes and progression of the disease in subtype of testicular germ cell tumours

BACKGROUND

The transcription factor SALL4 is associated with embryonic pluripotency and has proposed as a novel immunohistochemistry (IHC) marker for diagnosing germ cell tumours. SALL4 comprises three isoforms, and SALL4-A being the full-length isoform. Studying its isoforms could revolutionize testicular cancer prognosis and subtype differentiation.

METHODS

The expression and clinical significance of isoform 'A' of SALL4 was evaluated in 124 testicular germ cell tumours (TGCTs) subtypes, adjacent 67 normal tissues and 22 benign tumours, using immunohistochemistry on tissue microarrays (TMA).

RESULTS

A statistically significant higher expression of nuclear and cytoplasmic SALL4-A was detected in TGCTs histological subtypes and benign tumours compared to the normal tissues. Seminoma and yolk sac tumours had the highest nuclear and cytoplasmic expression of SALL4-A. A significant correlation was detected between the higher nuclear expression of SALL4-A and increased pT stages (P = 0.026) in seminomas. Whereas in embryonal carcinomas, cytoplasmic expression of SALL4-A was associated with the tumour recurrence (P = 0.04) and invasion of the epididymis (P = 0.011).

CONCLUSIONS

SALL4-A isoform expression in the cytoplasm and nucleus of TGCTs may be associated with histological differentiation. In the seminoma subtype of TGCTs, higher expression of SALL4-A may be used as a predictive indicator of poorer outcomes and prognosis.

Advances in prognostic models for osteosarcoma risk

The risk prognosis model is a statistical model that uses a set of features to predict whether an individual will develop a specific disease or clinical outcome. It can be used in clinical practice to stratify disease severity and assess risk or prognosis. With the advancement of large-scale second-generation sequencing technology, along Prognosis models for osteosarcoma are increasingly being developed as large-scale second-generation sequencing technology advances and clinical and biological data becomes more abundant. This expansion greatly increases the number of prognostic models and candidate genes suitable for clinical use. This article will present the predictive effects and reliability of various prognosis models, serving as a reference for their evaluation and application.

Gene Expression in Synovium of Rotator Cuff Tear Patients Determined by RNA Sequencing

Rotator cuff tear (RCT) is a common shoulder disorder related to pain and dysfunction. However, the pathological mechanism of RCT remains unclear. Thus, this study aims to investigate the molecular events in RCT synovium and identify possible target genes and pathways as determined by RNA sequencing (RNA-Seq). The synovial tissue was biopsied from 3 patients with RCT (RCT group) and 3 patients with shoulder instability (Control group) during arthroscopic surgery. Then, differentially expressed (DE) mRNAs, long non-coding RNAs (lncRNAs) and micro RNAs (miRNAs) were comprehensively profiled by RNA-Seq. Gene ontology (GO) enrichment, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, and competing endogenous RNA (ceRNA) network analysis were performed to identify the potential functions of these DE genes. 447 mRNAs, 103 lncRNAs and 15 miRNAs were identified differentially expressed. The DE mRNAs were highlighted in inflammatory pathway including up-regulated T cell costimulation, positive regulation of T cell activation, and T cell receptor signaling. Down-regulated fatty acid degradation pathway and 5'-AMP-activated protein kinase (AMPK) signaling in RCT group are also enriched. Validation assay showed that the expression of pro-inflammatory molecules including IL21R, CCR5, TNFSF11, and MMP11 was significantly increased in RCT group compared with Control group. CeRNA analysis further revealed lncRNA-miRNA-mRNA regulatory networks involving IL21R and TNFSF11 in RCT. Activated synovial inflammation is the remarkable event of RCT. Importantly, increased T cell activation and disordered fatty acid metabolism signaling might play a significant role. ceRNA networks involving IL21R and TNFSF11 identified could potentially control the progression of RCT. In conclusion, our findings could provide new evidence for the molecular mechanisms of RCT and might identify new therapeutic targets.

Silencing of LINC00467 inhibits cell proliferation in testicular germ cell tumors cells

A significant decrease in LINC00467 expression in testicular germ cell tumors (TGCTs) was found in our previous study in comparison to adjacent tissue. Interestingly, the expression of LINC00467 correlated with the pathological grade of the tumor in TGCT patients. The higher the expression of LINC00467 was, the worse the prognosis of the patients with TGCT was. Despite these findings, the exact role of LINC00467 in the development of TGCTs requires further investigation. LINC00467 expression was downregulated in the NCCIT and TCam-2 cell lines via small interfering RNA (siRNA) silencing. The levels of gene expression were validated using quantitative real-time polymerase chain reaction (qRT-PCR) analyses. Cell proliferation was evaluated by the MTT and Cell Counting Kit-8 (CCK8) assays, whereas flow cytometry was used to assess the effects on the cell cycle. Western blotting analysis was used to detect expression levels of protein. Additionally, RNA-sequencing and bioinformatics methods were used to investigate the mechanism of action of LINC00467 in TGCTs. The suppression of LINC00467 expression resulted in decreased cell proliferation and induced S-phase arrest. Furthermore, the suppression of LINC00467 downregulated proliferating cell nuclear antigen (PCNA), a protein related to cell cycle regulation, while it upregulated p21 expression. In other studies involving dihydrotestosterone (DHT) stimulation, it was observed that DHT could upregulate LINC00467 expression. In addition, silencing of the LINC00467 reversed the effect of testosterone on cell proliferation. The Gene Set Enrichment Analysis (GSEA) revealed that LINC00467 regulated the p53 pathway by modulating the expression of CCNG1. Our study found that LINC00467 regulates cell proliferation by inducing S-phase arrest through the cell cycle-related proteins PCNA and p21. These findings contribute to our understanding of non-coding RNAs mechanisms involved in the development of TGCTs.

Analysis of the regulatory mechanisms of prognostic immune factors in thyroid cancer

Objective

To explore the regulatory mechanism of immune prognostic factors in thyroid cancer.

Methods

Based on the TCGA database and GEO database, this study used bioinformatics methods to study the potential regulatory mechanism of thyroid cancer prognosis, analyzed the differentially expressed genes and differential miRNAs between thyroid cancer and normal paracancerous tissues by R software, and constructed lasso risk factors. The immune prognostic factors of thyroid cancer were obtained from the model, and the miRDB website was used to predict the possibility of differential miRNA target binding of the immune prognostic factors and correlation analysis was performed, and finally verified by cell experiments.

Results

There were 1413 differentially expressed genes between thyroid cancer and normal paracancerous tissues, among which 21 immune-related genes were prognostic factors with significant differences in expression; lasso risk model obtained AKAP12, APOC1, TIMP3, ADAMTS9, ANK2, HTRA3, SYNDIG1 , ADAMTS5 and DACT1 were nine prognostic factors. A total of 58 differential miRNAs were found in thyroid cancer tissues and non-cancerous tissues. The possibility of differential miRNA targeting and binding of immune prognostic factors on the miRDB website and cell experiments was analyzed.

Conclusions

The potential miRNA regulatory mechanism of immune prognostic factors in thyroid cancer has been explored.